As organizations race to keep pace with technological change, many learning leaders are wrestling with how emerging forms of AI will reshape their work. Now, agentic AI is entering the picture, offering clear potential for L&D, but also introducing new uncertainties. From automating routine tasks to enabling more personalized learning experiences, the shift also raises new questions about employee trust, job impact and how learners adapt to AI‑driven environments. Many learning and development (L&D) teams recognize that AI could streamline their operations but are still figuring out how it fits into existing workflows and how employees will respond to it.

And this gap matters: Our research shows that while interest in AI‑enabled learning is surging among organizations, 56% of learners are still wary of AI‑driven training experiences.

Fortunately, agentic AI offers practical ways for L&D teams to scale quality learning without sacrificing human oversight, instructional integrity or, most importantly, employee trust and engagement.

When thoughtfully integrated, these tools can simplify content creation, accelerate delivery and provide real‑time insights that help learners stay on track. At the same time, understanding the human response, such as how employees perceive fairness, accuracy and usefulness, can help learning leaders introduce AI in ways that build buy‑in rather than resistance.

This Research Spotlight draws on exclusive Training Industry data to examine both sides of the equation: the capabilities of agentic AI and the human factors that shape its success. You’ll learn where AI can enhance L&D workflows, what barriers organizations encounter during implementation and the beliefs that most influence learner engagement and trust. You’ll gain evidence‑based insights to help you adopt AI responsibly and strategically.

In this session, you’ll be able to answer questions like:

1. How can agentic AI automate and accelerate L&D workflows while maintaining quality?
2. What are the most common challenges learning leaders face when introducing AI into training programs?
3. How do learners generally react to agentic AI, and why do they feel this way?
4. How can you introduce AI in ways that improve adoption, engagement and perceived value?

We’ll walk through research‑driven recommendations to help you integrate AI in ways that elevate (rather than overwhelm) your learning strategy. You’ll leave with concrete steps for improving communication around AI, strengthening employee adoption and leveraging agentic capabilities to streamline training. Understanding both the technological benefits and the human response will help you make smarter decisions about how AI can advance the impact of L&D across your organization.